Ricky Doar, VP of Solutions at Cursor, shares best practices for leveraging AI in software development, focusing on effective problem decomposition, context management, and navigating both new and legacy codebases. He highlights common anti-patterns, such as over-reliance on AI, and offers strategies for debugging, model steerability, and building effective agent harnesses.
Explore prompt caching to significantly reduce latency and costs for your AI applications. This guide breaks down the mechanics of KV caching, best practices for maximizing cache hits using `prompt_cache_key` and the Responses API, and real-world implementation insights from the agentic development platform, Warp.
Experts from Anthropic discuss the evolution of the Claude Developer Platform, the philosophy of "unhobbling" models with tools rather than restrictive scaffolding, and the future of building sophisticated, autonomous AI agents with features like the Claude Agent SDK, advanced context management, and persistent memory.
A deep dive into using Google's A2A (Agent-to-Agent) framework and MCP (Model Context Protocol) to build intelligent, automated workflows. This summary covers the core concepts, strategic implementation, a practical multi-agent architecture, and critical insights on lean context management to control costs and latency.